查看“计算机专业基础-相关课程”的源代码

=离散数学=

对标课程：[http://web.stanford.edu/class/cs103/ CS103: Mathematical Foundations of Computing]

#Richard Johnsonbaugh, Discrete Mathatics, Prentice-Hall, 2005.

=数据结构与算法=

对标课程：[http://web.stanford.edu/class/cs161/ CS 161: Design and Analysis of Algorithms]

#Introduction to Algorithms-Third Edition-The MIT Press (2009)

#数据结构与算法分析C++描述

=编程语言=

对标课程：[https://cs242.stanford.edu  CS 242:programming language]

对标课程：[https://see.stanford.edu/Course/CS107 CS107 - Programming Paradigms]

#C++, LISP, Python编程语言

=编译器=

对标课程：[http://web.stanford.edu/class/cs143/ CS143: Compilers]

# Compilers: Principles, Techniques & Tools, by Aho, Lam, Sethi and Ullman, Second edition. ISBN 0-321-48681-1
# Crafting a Compiler, by Fischer, Cytron and LeBlanc, ISBN 0-13-606705-0

=系统结构=

对标课程：[http://web.stanford.edu/class/ee282/ EE 282： Computer Systems Architecture]

#Computer Architecture: A Quantitative Approach, （计算机系统结构-量化研究方法-[英文版][第五版]）

=计算机应用=

==操作系统与软件工程==

对标课程：[http://web.stanford.edu/class/cs140/ CS 140: Operating Systems] 

对标课程：[https://see.stanford.edu/Course/CS106A CS106A：Programming Methodology] 

#Agile编程
#SCRUM，软件开发

==数据系统==

数据库与大数据系统

对标课程：[http://web.stanford.edu/class/cs145/ CS145: Data Management and Data Systems]

对标课程：[http://web.stanford.edu/class/cs245/ CS245: Principles of Data-Intensive Systems]


==人工智能==

对标课程：[http://web.stanford.edu/class/cs121/ CS121: Introduction to Artificial Intelligence] or 

对标课程：[http://web.stanford.edu/class/cs221/ CS221: Artificial Intelligence: Principles and Techniques]

#Artificial Intelligence - A Modern Approach .3e. Third Edition. 
（[人工智能：一种现代方法.英文.第三版]）


=参考=

Stanford Engineering Computer Science, https://cs.stanford.edu/academics/courses

https://exploredegrees.stanford.edu/coursedescriptions/cs/

https://exploredegrees.stanford.edu/coursedescriptions/ee/

=通俗读物=

改变未来的九大算法，

信息简史，

世界是数字的，

算法之美，